Founding Full Stack AI Engineer
About The Position
Sylvan Labs is tackling a critical gap in enterprise software — an underpenetrated space with billions in unrealized revenue potential. We are building a digital account manager agent that autonomously analyzes data, surfaces revenue insights, and automates follow-through. In the long run, we aim to multiply the output of every customer-facing team, transforming how businesses scale revenue from the ground up. We are looking for a Founding Full-Stack AI Engineer who wants to redefine how enterprise companies drive revenue. We will only hire A-players and are highly willing to go above-market in ownership, equity, and cash compensation. We want world-class builders who are excited by the opportunity to be part of a category-defining company at the earliest stage. It won’t be easy. We’re going to move fast. But it’ll be fun.
Requirements
- Been the top code contributor on your prior teams, not phased by the prospect of long hours when needed to ship and scale.
- A world-class software engineer who thrives in a fast-paced, high-ownership environment.
- Passionate about building high-quality products with speed and precision.
- Strong customer empathy — you understand user needs and build with them in mind.
- Proven track record building real-world ML/AI products with solid grasp of AI/ML fundamentals.
Nice To Haves
- Prior experience as a founder / early-stage engineer.
- Experience with React, TypeScript, and Python.
Responsibilities
- Own and ship features end-to-end, from architecture to deployment.
- Build robust integrations + data ontology mapping tooling to streamline ingest and normalization of 3rd-party data, delivering enterprise-grade durability, scalability, and rapid customer deployments.
- Develop and maintain intuitive, functional UIs — pushing the envelope on AI product patterns and moving beyond simple chatbots to create more immersive, assistive experiences.
- Architect & build agentic solutions that automate complex workflows while advancing applied AI — from long-term agent memory to enhancing LLMs with reinforcement learning.
- Work closely with customers, iterating rapidly to refine and improve the product.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
